Investigation of Mechanical and Physical Properties of PET Nanofiber Hollow Yarn
Bibliographic record
Abstract
In this study, mechanical and physical properties of polyethylene terephthalate (PET) nanofiber hollow yarn in various concentrations of PET polymeric solution were investigated. First, five different concentrations (18, 21, 24, 27, and 30% w/v) of PET solutions were prepared in (TFA) / (DCM) mixtures (70: 30 v/v), and then the electrospining was done for each concentration in a way that to put PVA multifilament in the core and to twist PET nanofibers onto multifilament yarn as a sheath simultaneously, followed by dissolving PVA yarn in hot water, PET nanofiber hollow yarn was produce. The surveys of mechanical properties of PVA multifilament yarn, core-sheath yarns and hollow yarns showed that the PVA multifilament yarn and nanofiber hollow yarn in concentrations of 30% w/v PET polymeric solution had the highest and lowest average strength respectively. Also surveys of elongation showed that PVA multifilament yarn, core-sheath yarns and hollow yarns did not have any significant difference on average extension. Regarding physical properties, the wicking property of hollow yarns in different concentrations of polymeric solution were surveyed. Results showed that the PET nanofiber hollow yarn in concentration of 24% w/v PET polymeric solution had the highest coefficient wicking. More the regain moisture of hollow yarns were surveyed and concluded that the PET nanofiber hollow yarn in concentrations of 18% w/v PET polymeric solution had the most regain moisture.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".